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SUMMARY:Computational Homogenization of DP Steels using Statistically Simi
 lar RVEs
DTSTART:20130305T131500
DTEND:20130305T141500
DTSTAMP:20260407T210938Z
UID:ab98ecc0c60cdf834415fb2e9d1c7ffe691333f87b0d43bf9de33f3c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr.-Ing. Daniel Balzani\nBio : Dr. Daniel Balzani is senior re
 search assistant at the Institute of Mechanics\, Faculty of Engineering\, 
 Department of Civil Engineering\, University of Duisburg-Essen. He receive
 d his diploma of engineering science there in 2003 and his doctoral degree
  from the Technical University of Darmstadt in 2006. Since then he is work
 ing in Essen again with an interruption in 2009 when he worked for one yea
 r at the Leibniz University Hannover as a Substitute Professor for Mechani
 cs at the Institute of Mechanics and Computational Mechanics (IBNM) and in
  2010 when he joined the research group of Michael Ortiz at the California
  Institute of Technology in Pasadena as visiting faculty for seven months.
  His habilitation thesis was successfully defended in December 2012. Danie
 l Balzani is currently PI of five projects and author or co-author of 17 p
 eer-reviewed journal articles and over 40 conference proceedings. His rese
 arch interests are in the field of continuum mechanical modeling of nonlin
 ear micro-heterogeneous materials and numerical methods for their simulati
 on.\nAbstract : In many applications in structural engineering advanced hi
 gh strength steels are more and more important due to their enhanced prope
 rties of increased stability and formability. These properties originate f
 rom the interaction of heterogeneously distributed constituents on the mic
 roscale leading to a complex elasto-plastic material behavior at the macro
 scale including kinematic hardening. A numerical method to directly incorp
 orate the microscopic mechanical fields into the simulation are direct mic
 ro-macro-transition approaches\, such as the FE² method\, where in each m
 acroscopic evaluation point an additional boundary value problem on the mi
 croscale is solved and the macroscopic quantities are calculated based on 
 suitable volume averages of microscopic quantities. The microscopic bounda
 ry value problem is constructed based on a representative volume element (
 RVE) which leads to high computational costs for RVEs that are constructed
  as substructures of real microstructures. The high complexity of the morp
 hology of such RVEs results in a high number of degrees of freedom in the 
 RVE. This drawback can be circumvented by the usage of statistically simil
 ar RVEs (SSRVEs)\, which have the ability to increase the efficiency of th
 e method. SSRVEs are characterized by a lower complexity than RVEs while g
 iving a rather accurate representation of the mechanical response of the r
 eal microstructure. For the construction of SSRVEs a least-square function
 al is minimized considering the differences of suitable statistical measur
 es calculated for the real microstructure and the SSRVE. The main advantag
 e is that thereby complex micro-macro calculations can be performed where 
 mechanical phenomena such as e.g. eigenstrains can also be incorporated in
  a direct sense even at the microscopic level.
LOCATION:ME B3 31 http://plan.epfl.ch/?room=MEB331
STATUS:CONFIRMED
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